Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems.
Dan GarberAtara KaplanPublished in: CoRR (2018)
Keyphrases
- low rank
- matrix completion
- minimization problems
- convex optimization
- singular value decomposition
- factorization methods
- linear combination
- matrix factorization
- low rank matrix
- rank minimization
- missing data
- data matrix
- learning algorithm
- affinity matrix
- matrix decomposition
- trace norm
- kernel matrix
- kernel matrices
- optimization methods
- low rank approximation
- data sets
- low rank and sparse
- eigendecomposition
- theoretical guarantees
- singular values
- nonnegative matrix factorization
- high order
- sparse representation
- least squares
- image processing